نتایج جستجو برای: Adaptive planning
تعداد نتایج: 395034 فیلتر نتایج به سال:
a new method for tool-path generation and adaptive interpolation of a three-axis cnc milling machine
in this paper we present a new method for tool-path generation and adaptive interpolation for a three-axis cnc milling machine. this method satisfied the force and / or the error conditions by using a variable-direction variable-feedrate strategy based on maximum feedrate map. the proposed adaptive interpolator modifies the cutting path and the moving direction according to the actual instantan...
this study compared the different effects of form-focused guided planning vs. meaning-focused guided planning on iranian pre-intermediate students’ task performance. the study lasted for three weeks and concentrated on eight english structures. forty five pre-intermediate iranian students were randomly assigned to three groups of guided planning focus-on-form group (gpfg), guided planning focus...
as a source of motivation for efl teachers in their work environment, their satisfaction with their manager’s behavior comprises the basis of the present study. through triangulation and employment of two types of interview, a regular one and an innovative adaptive type, we elicited iranian efl teachers’ perception of their managers’ management skills in the private sector. the two data were th...
Resilience has become a central buzzword for all activities performed by cities to handle potential disruptions and changes of social, economic as well as ecological nature. Especially the increasing consequences of climate change are challenging city governments in ensuring resilience nowadays. Understanding adaptability as a key component of resilience, a lot of cities are implementing substa...
Aggregate production planning (APP) determines the optimal production plan for the medium term planning horizon. The purpose of the APP is effective utilization of existing capacities through facing the fluctuations in demand. Recently, fuzzy approaches have been applied for APP focusing on vague nature of cost parameters. Considering the importance of coping with customer demand in different p...
Some of the most powerful reinforcement learning frameworks use planning for action selection. Interestingly, their horizon is either fixed or determined arbitrarily by state visitation history. Here, we expand beyond naive and propose a theoretically justified strategy adaptive selection as function state-dependent value estimate. We two variants lookahead analyze trade-off between iteration c...
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